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Job opportunities

BIFOLD welcomes job applications from interested parties year-round.

Ideal candidates are those who seek to challenge themselves academically, are passionate about data science and computer systems engineering, and possess expertise in Big Data analytics and Machine Learning, benchmarking, data science, scalable data management, scalable processing technologies that leverage hardware-based solutions, stream processing, or visual analytics.
In addition, you should have experience in two or more of the following: big data frameworks (e.g., Apache Flink, Apache Spark), database systems (e.g., SQL, NoSQL), and programming languages (e.g., Java, Javascript, Scala, C/C++, Python). Good knowledge of both German and English are strongly desired. However, at a minimum, candidates must be able to communicate in English.

If not stated otherwise in the job posting, job applications should be directed to coordination@bifold.berlin.
In general, applications must include a cover letter (specifying target position, and including the job reference number, when available), CV, academic transcripts, and letters of recommendation. Note: Postdoctoral Researcher applicants must also provide examples of past publications.

Open positions:

Research Assistant (TU Berlin, Machine Learning)

Working field: Research at the intersection of machine learning and differential geometry; development of robust methods to explain Neural Network classifier decisions; theoretical and practical analysis of explanation methods; connecting explanation methods with generative models; GANs, Nfs, VAEs; Manifold learning

Employer: Tech­ni­sche Uni­ver­sität Ber­lin – Faculty IV – Institute of Software Engineering and Theoretical Computer Science / Machine Learning

Salary grade: E 13 TV-L Berliner Hochschulen

Starting: At the earliest possible

Closing date: 06/08/2021

Reference number: IV-415/21

Full job posting